Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC
Regional climate models are a valuable tool for the study of the climate processes and climate change in polar regions, but the performance of the models has to be evaluated using experimental data. The regional climate model CCLM was used for simulations for the MOSAiC period with a horizontal reso...
Published in: | Meteorology |
---|---|
Main Authors: | , , , , , |
Other Authors: | |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2100 https://nbn-resolving.org/urn:nbn:de:hbz:385-1-21004 https://doi.org/10.3390/meteorology2020016 https://ubt.opus.hbz-nrw.de/files/2100/meteorology-02-00016.pdf |
id |
ftunivtrier:oai:ubt.opus.hbz-nrw.de:2100 |
---|---|
record_format |
openpolar |
spelling |
ftunivtrier:oai:ubt.opus.hbz-nrw.de:2100 2024-02-04T09:58:30+01:00 Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC Heinemann, Günther Schefczyk, Lukas Zentek, Rolf Brooks, Ian M. Dahlke, Sandro Walbröl, Andreas The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG) 2023-06-07 application/pdf https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2100 https://nbn-resolving.org/urn:nbn:de:hbz:385-1-21004 https://doi.org/10.3390/meteorology2020016 https://ubt.opus.hbz-nrw.de/files/2100/meteorology-02-00016.pdf eng eng https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2100 urn:nbn:de:hbz:385-1-21004 doi:10.3390/meteorology2020016 https://ubt.opus.hbz-nrw.de/files/2100/meteorology-02-00016.pdf https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess Arktis 4002924-4 Meereis 4131349-5 Klima 4031170-3 Modell 4039798-1 Atmosphärische Grenzschicht 4192517-8 Geowissenschaften Geologie ddc:55 article doc-type:article 2023 ftunivtrier https://doi.org/10.3390/meteorology2020016 2024-01-07T23:34:50Z Regional climate models are a valuable tool for the study of the climate processes and climate change in polar regions, but the performance of the models has to be evaluated using experimental data. The regional climate model CCLM was used for simulations for the MOSAiC period with a horizontal resolution of 14 km (whole Arctic). CCLM was used in a forecast mode (nested in ERA5) and used a thermodynamic sea ice model. Sea ice concentration was taken from AMSR2 data (C15 run) and from a high-resolution data set (1 km) derived from MODIS data (C15MOD0 run). The model was evaluated using radiosonde data and data of different profiling systems with a focus on the winter period (November–April). The comparison with radiosonde data showed very good agreement for temperature, humidity, and wind. A cold bias was present in the ABL for November and December, which was smaller for the C15MOD0 run. In contrast, there was a warm bias for lower levels in March and April, which was smaller for the C15 run. The effects of different sea ice parameterizations were limited to heights below 300 m. High-resolution lidar and radar wind profiles as well as temperature and integrated water vapor (IWV) data from microwave radiometers were used for the comparison with CCLM for case studies, which included low-level jets. LIDAR wind profiles have many gaps, but represent a valuable data set for model evaluation. Comparisons with IWV and temperature data of microwave radiometers show very good agreement. Article in Journal/Newspaper Arctic Arktis Arktis* Climate change Sea ice Publication Server of Tier University (OPUS) Arctic Meteorology 2 2 257 275 |
institution |
Open Polar |
collection |
Publication Server of Tier University (OPUS) |
op_collection_id |
ftunivtrier |
language |
English |
topic |
Arktis 4002924-4 Meereis 4131349-5 Klima 4031170-3 Modell 4039798-1 Atmosphärische Grenzschicht 4192517-8 Geowissenschaften Geologie ddc:55 |
spellingShingle |
Arktis 4002924-4 Meereis 4131349-5 Klima 4031170-3 Modell 4039798-1 Atmosphärische Grenzschicht 4192517-8 Geowissenschaften Geologie ddc:55 Heinemann, Günther Schefczyk, Lukas Zentek, Rolf Brooks, Ian M. Dahlke, Sandro Walbröl, Andreas Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC |
topic_facet |
Arktis 4002924-4 Meereis 4131349-5 Klima 4031170-3 Modell 4039798-1 Atmosphärische Grenzschicht 4192517-8 Geowissenschaften Geologie ddc:55 |
description |
Regional climate models are a valuable tool for the study of the climate processes and climate change in polar regions, but the performance of the models has to be evaluated using experimental data. The regional climate model CCLM was used for simulations for the MOSAiC period with a horizontal resolution of 14 km (whole Arctic). CCLM was used in a forecast mode (nested in ERA5) and used a thermodynamic sea ice model. Sea ice concentration was taken from AMSR2 data (C15 run) and from a high-resolution data set (1 km) derived from MODIS data (C15MOD0 run). The model was evaluated using radiosonde data and data of different profiling systems with a focus on the winter period (November–April). The comparison with radiosonde data showed very good agreement for temperature, humidity, and wind. A cold bias was present in the ABL for November and December, which was smaller for the C15MOD0 run. In contrast, there was a warm bias for lower levels in March and April, which was smaller for the C15 run. The effects of different sea ice parameterizations were limited to heights below 300 m. High-resolution lidar and radar wind profiles as well as temperature and integrated water vapor (IWV) data from microwave radiometers were used for the comparison with CCLM for case studies, which included low-level jets. LIDAR wind profiles have many gaps, but represent a valuable data set for model evaluation. Comparisons with IWV and temperature data of microwave radiometers show very good agreement. |
author2 |
The publication was funded by the Open Access Fund of Universität Trier and the German Research Foundation (DFG) |
format |
Article in Journal/Newspaper |
author |
Heinemann, Günther Schefczyk, Lukas Zentek, Rolf Brooks, Ian M. Dahlke, Sandro Walbröl, Andreas |
author_facet |
Heinemann, Günther Schefczyk, Lukas Zentek, Rolf Brooks, Ian M. Dahlke, Sandro Walbröl, Andreas |
author_sort |
Heinemann, Günther |
title |
Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC |
title_short |
Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC |
title_full |
Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC |
title_fullStr |
Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC |
title_full_unstemmed |
Evaluation of Vertical Profiles and Atmospheric Boundary Layer Structure Using the Regional Climate Model CCLM during MOSAiC |
title_sort |
evaluation of vertical profiles and atmospheric boundary layer structure using the regional climate model cclm during mosaic |
publishDate |
2023 |
url |
https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2100 https://nbn-resolving.org/urn:nbn:de:hbz:385-1-21004 https://doi.org/10.3390/meteorology2020016 https://ubt.opus.hbz-nrw.de/files/2100/meteorology-02-00016.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arktis Arktis* Climate change Sea ice |
genre_facet |
Arctic Arktis Arktis* Climate change Sea ice |
op_relation |
https://ubt.opus.hbz-nrw.de/frontdoor/index/index/docId/2100 urn:nbn:de:hbz:385-1-21004 doi:10.3390/meteorology2020016 https://ubt.opus.hbz-nrw.de/files/2100/meteorology-02-00016.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/meteorology2020016 |
container_title |
Meteorology |
container_volume |
2 |
container_issue |
2 |
container_start_page |
257 |
op_container_end_page |
275 |
_version_ |
1789962953593716736 |